Abstract: The information processing apparatus includes an acquisition unit for acquiring sensor information indicating a sensing result by a sensor that senses a space and environmental information regarding an environment of the space, a guide information acquisition unit for acquiring guide information indicating at least one of a shape of a target included in the space, a trajectory of movement of the target, a relationship between the targets, and a boundary in the space, a text generation unit for generating a text describing the space using the sensor information, the guide information, and the environmental information, and a text output unit for outputting the text generated by the text generation unit.

Abstract: The information processing apparatus includes a target detection unit for detecting a target existing in a space using sensor information indicating a sensing result by a sensor that senses the space, a target tracking unit for tracking the target detected by the target detection unit, a text generation unit for generating a text describing a trajectory of the target using a tracking result by the target tracking unit, environmental information regarding an environment of the target, and spatial information indicating the space, and an output unit for outputting an image representing a trajectory of the target in the space and the text generated by the text generation unit.

Abstract: A machine learning system and a machine learning method capable of selecting a pretrained model to be used in transfer learning in a short time without actually executing the transfer learning includes a pretrained model acquisition unit which acquires a pretrained model from a pretrained model storage unit storing a plurality of pretrained models obtained by learning a transfer source task under respective conditions; a transfer learning dataset storage unit configured to store dataset related to a transfer target task; a pretrained model adaptability evaluation unit configured to evaluate adaptability of each pretrained model acquired by the pretrained model acquisition unit to the dataset related to the transfer target task; and a transfer learning unit configured to execute, based on an evaluation result of the pretrained model adaptability evaluation unit, transfer learning using a selected pretrained model and the dataset, and outputs a learning result as a trained model.

Abstract: A thermal device according to the present disclosure is a thermal device that utilizes latent heat of a phase transformation substance. The thermal device according to the present disclosure includes a ceramic container and a sealing portion. The ceramic container includes a phase transformation region in which the phase transformation substance is sealed, a frame region surrounding the phase transformation region, and a communication path configured to connect the phase transformation region with the outside. The sealing portion blocks the communication paths. The communication path is located in the frame region.

Abstract: The present disclosure proposes a pattern matching device capable of achieving matching processing that is characterized by involving a learning function even for a semiconductor pattern including a repetitive pattern, in particular. The pattern matching device pertaining to the present disclosure is provided with a learning unit for estimating a first correlation image having, as pixel values thereof, numerical values representing a correlation between a first image and a second image. The pattern matching device calculates a second correlation image having, as pixel values thereof, numerical values representing the correlation between a derivative image generated from the first image and the first image, and the learning unit performs learning so as to reduce the difference between the first correlation image and the second correlation image (refer to FIG. 1).

Abstract: A pattern matching apparatus includes a computer system configured to execute pattern matching processing between first pattern data based on design data and second pattern data representing a captured image of an electron microscope. The computer system acquires a first edge candidate group including one or more first edge candidates, acquires a selection-required number (the number of second edge candidates to be selected based on the second pattern data), acquires a second edge candidate group including the second edge candidates of the selection-required number, acquires an association evaluation value for each of different association combinations between the first edge candidate group and the second edge candidate group, selects one of the combinations based on the association evaluation value, and calculates a matching shift amount based on the selected combination.

Abstract: At least one processor included in an information processing system carries out: an acquisition process for acquiring a plurality of pieces of sensor data; a trajectory candidate generation process for generating trajectory candidates related to a target object with reference to pieces of sensor data that have been acquired in the past; a selection process for selecting pieces of sensor data indicating a position of the target object from among the acquired pieces of sensor data; a trajectory group generation process for generating a trajectory group of the target object in accordance with a correlation between the trajectory candidates; and an output process for outputting the selected pieces of sensor data and the trajectory group.

Abstract: The learning device learns the target detection model used in the radar device. The learning device includes an acquisition unit, a learning data generation unit, and a learning processing unit. The acquisition unit acquires a reception signal generated based on the received wave and a tracking signal generated based on the reception signal from the radar device. The learning data generation unit generates learning data using the reception signal and the tracking signal. The learning processing unit learns a target detection model that detects a target from the reception signal, using the learning data.

Abstract: A pattern matching apparatus includes a computer system configured to execute pattern matching processing between first pattern data based on design data and second pattern data representing a captured image of an electron microscope. The computer system acquires a first edge candidate group including one or more first edge candidates, acquires a selection-required number (the number of second edge candidates to be selected based on the second pattern data), acquires a second edge candidate group including the second edge candidates of the selection-required number, acquires an association evaluation value for each of different association combinations between the first edge candidate group and the second edge candidate group, selects one of the combinations based on the association evaluation value, and calculates a matching shift amount based on the selected combination.

Abstract: A circuit base of the present disclosure includes a base made of ceramic, a joint layer located on the base, and a metal layer located on the joint layer. The metal layer contains copper. The joint layer contains aluminum, silicon, and oxygen.

Abstract: A puncture device includes: a housing having a contact surface configured to come into contact with skin of a living body; a needle member that includes a puncture needle and is movable relative to the housing along an axis of the puncture needle, the puncture needle being configured to protrude from the contact surface toward the skin; and an adjustment mechanism that is displaceable with respect to the housing and configured to adjust a puncture depth of the puncture needle with respect to the skin. The adjustment mechanism includes a movement preventing portion that abuts on an abutting portion of the needle member and is configured to prevent movement in a puncture direction when the puncture needle moves toward the skin to perform puncture of the skin.

Abstract: A heat dissipation member includes an intermediate member, a first member and a second member, each with a plate shape and made of a ceramic. The intermediate member includes a plurality of through holes each penetrating through a first surface and a second surface, of the intermediate member, located opposite to each other. The first member includes a first groove portion on a third surface of the first member, facing the first surface of the intermediate member. The second member includes a plurality of second grooves on a fourth surface facing the second surface of the intermediate member, and a heat source is arranged on a fifth surface located opposite to the fourth surface.

Abstract: The waterproof member of the present disclosure is a waterproof member comprising a waterproof membrane configured to prevent entry of water while permitting sound and/or gas to pass therethrough, and a support layer having air permeability in a thickness direction thereof, wherein the member has a joining region where the waterproof membrane and the support layer are joined, and a non-joining region where the waterproof membrane and the support layer are spaced apart from each other, the non-joining region is surrounded by the joining region when viewed in a direction perpendicular to a main surface of the waterproof membrane, and a thickness of the support layer in the non-joining region is less than 100 ?m. The waterproof member of the present disclosure is, for example, a waterproof sound-transmitting member including a waterproof sound-transmitting membrane and a support layer for the membrane and having improved sound transmission characteristics.

Abstract: A training method for a machine learning model can be trained for predicting characteristics after cell culture. The training method for machine learning models includes first performing a cell culture experiment at least three times, in which a plurality of cell images are captured during or after cell culture, and after the cell culture, a plurality of pieces of characteristic information of cells of the plurality of cell images are acquired, and second using some or all of pairs combining the plurality of captured cell images and the characteristic information as training data. In the second step, information indicating a magnitude relationship of the plurality of pieces of characteristic information of the plurality of cell images is classified into at least three classes including large, medium and small classes, and some of the cell images of the large and small classes are trained as the training data.

Abstract: A thermal device according to the present disclosure includes a ceramic container, a fluid, and a sealing portion. The container includes an internal space, an opening portion connected to the internal space, and a communication path configured to connect the internal space and the opening portion. The fluid is located in the internal space. The sealing portion blocks the opening portion. The sealing portion includes a core portion and a flange connected to the core portion. The flange is bonded to the container around the opening portion. The core portion is located inside the opening portion. A portion of the core portion is in contact with the wall surface of the opening portion.

Abstract: In order to facilitate generation of teacher data and to detect position coordinates with high reliability, there is provided a localization apparatus including: a deep learning model trained by using training image data in which position coordinates desired to be detected are specified and teacher image data in which a pixel group representing a shape independent of a subject of the training image data is arranged at a position relative to the position coordinates desired to be detected; a position coordinate calculation unit calculating position coordinates by using inference image data output from the deep learning model, and a reliability calculation unit calculating reliability by using global information of the pixel group of the inference image data output from the deep learning model.

Abstract: A thermal device according to the present disclosure is a thermal device that utilizes latent heat of a phase transformation substance. The thermal device according to the present disclosure includes a ceramic container and a sealing portion. The ceramic container includes a phase transformation region in which the phase transformation substance is sealed, a frame region surrounding the phase transformation region, and a communication path configured to connect the phase transformation region with the outside. The sealing portion blocks the communication paths. The communication path is located in the frame region.

Abstract: A protective cover member includes a laminate including: a protective membrane having a shape configured to cover an opening when the protective cover member is placed on the face of an object; a substrate film joined to the protective membrane; and a first adhesive layer configured to fix the protective cover member to the face, wherein an outer peripheral surface of the protective cover member has a step in a laminating direction of the laminate, a first portion of the protective cover member protrudes at the step more outward than a second portion of the protective cover member does when the protective cover member is placed on the face, the first portion being positioned farther from the face than the step, the second portion being positioned closer to the face than the step, and the protective membrane and the substrate film are positioned in the first portion.

Abstract: A thermal device according to the present disclosure includes a ceramic container, a fluid, and a sealing portion. The container includes an internal space, an opening portion connected to the internal space, and a communication path configured to connect the internal space and the opening portion. The fluid is located in the internal space. The sealing portion blocks the opening portion. The sealing portion includes a core portion and a flange connected to the core portion. The flange is bonded to the container around the opening portion. The core portion is located inside the opening portion. A portion of the core portion is in contact with the wall surface of the opening portion.

Abstract: The present disclosure proposes a pattern matching device capable of achieving matching processing that is characterized by involving a learning function even for a semiconductor pattern including a repetitive pattern, in particular. The pattern matching device pertaining to the present disclosure is provided with a learning unit for estimating a first correlation image having, as pixel values thereof, numerical values representing a correlation between a first image and a second image. The pattern matching device calculates a second correlation image having, as pixel values thereof, numerical values representing the correlation between a derivative image generated from the first image and the first image, and the learning unit performs learning so as to reduce the difference between the first correlation image and the second correlation image (refer to FIG. 1).